Division of the music library into groups on basis of familiarity and likeability levels This output helps the programming team prune the play mix and help identify songs which should be played more/less Extended Objectives Besides the obvious output of segregating the songs into lists (basis which should be played more/less/discarded), AMT outputs are analyzed for higher understanding as follows:
It gives us answers as to whether the city TG prefers regional music over Hindi or English music and hence, helps us form programming strategies. In addition, comparison of AMT output of two cities aides ground level understanding for the programming team which is helpful in designing the play mix. For example, comparison of Delhi vs. Mumbai outputs prove that Delhi audience tends towards Punjabi hits whereas Mumbai audience prefers more evolved Hindi Bollywood numbers with softer tempo.
Over a period of time, understanding how music preferences vary over various Indian regions helps the station make more informed choices when launching in new markets.
